Rick Zhang

Automotive Engineering · 2014

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Rick Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Brian Kulis
  2. Marco Pavone
  3. Michael I. Jordan
  4. Emilio Frazzoli
  5. Gerardo Berbeglia

Who trusts Rick Zhang overall

  1. Jennie Lioris
  2. Cathy Wu
  3. Keshav Bimbraw
  4. Ramtin Pedarsani
  5. Javier Alonso-Mora
  6. Hai Wang
  7. Wilko Schwarting
  8. F. Y. Taşcıkaraoğlu

Papers from Rick Zhang's perspective

Ordered by how strongly the researchers Rick Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Revisiting k-means: New Algorithms via Bayesian Nonparametrics (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Multiple Layers of Features from Tiny Images
  5. Long Short-Term Memory
  6. Robotic load balancing for mobility-on-demand systems (Int. J. Robotics Res.)
  7. Dynamic pickup and delivery problems (European Journal of Operational Research)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers